• DocumentCode
    72098
  • Title

    On Curve Negotiation: From Driver Support to Automation

  • Author

    Bosetti, Paolo ; Da Lio, Mauro ; Saroldi, Andrea

  • Author_Institution
    Dept. of Ind. Eng., Univ. of Trento, Trento, Italy
  • Volume
    16
  • Issue
    4
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    2082
  • Lastpage
    2093
  • Abstract
    This paper describes a curve negotiation “behavior” that can be used-within subsumption architectures - to produce artificial agents with the ability to negotiate curves in a humanlike way. This may be used to implement functions spanning different levels of automation, from assistance (curve warning) to automated (curve speed control). This paper gives the following: (1) a summary of related works and of the subsumption architecture conceptual framework; (2) a detailed description of the function within this framework; (3) experimental data for validation and tuning derived from user tests; (4) guidelines on integration of the function within advanced driver assistance systems with different automation levels, with examples; and (5) a comparison with experimental data of the human curve speed choice models in the state of the art.
  • Keywords
    automobiles; driver information systems; optimal control; velocity control; advanced driver assistance systems; architecture conceptual framework; artificial agents; assistance level; automation levels; curve negotiation behavior; curve speed control; curve warning; experimental data; function integration; human curve speed choice models; subsumption architectures; user tests; Acceleration; Automation; Friction; Optimal control; Polynomials; Roads; Vehicles; Advanced driver assistance systems (ADAS); anticipatory longitudinal control; co-driver; curve speed; driver modeling; optimal control (OC);
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2015.2395819
  • Filename
    7045558